The agent successfully assembled a comprehensive understanding of Ziina by combining direct site visits with web searches and prior knowledge. The site's JavaScript-heavy design and lack of a dedicated /pricing page created friction — the agent had to rely on help center articles and search-indexed fee pages rather than a single canonical resource. Despite these barriers, the agent extracted clear answers on what Ziina does (UAE fintech for payments), who it serves (individuals and SMEs), pricing (2.6–2.9% + 1 AED per transaction, no subscriptions), and competitive differentiation (UAE-native, Tap to Pay, transparent fees). The agent honestly flagged gaps where interactive/JS content could not be fully extracted.

• ›Step [1] (homepage) and steps [4, 9, 10] (about, business/connect, business/invoicing) returned full HTML but were JavaScript-rendered marketing pages — the agent could not extract detailed feature matrices or account tier comparisons directly from them.
• ›Step [16] (ziina.com/fees) and step [18] (help center article on fees) were the primary sources for pricing data; both were successfully fetched and contained transaction-fee details. The /fees page exists and is findable via search (step [13]), but not linked prominently from the homepage, forcing discovery via web search.
• ›Steps [13, 14, 20] (web searches) were critical: they surfaced the /fees page, help center articles, and competitive comparison content that the site's navigation and homepage did not expose directly. The agent sourced 55% of its knowledge from web search, indicating the site's discovery and internal linking are weak.
• ›Step [11] (docs.ziina.com/getting-started) returned a Mintlify documentation site but was not cited in the final response, suggesting it was less information-dense than expected or duplicative of homepage content.
• ›The agent explicitly acknowledged in its final response that interactive/JavaScript-dependent pages (fees, comparison, business features) could not be fully parsed for detail, revealing the site's choice to render content client-side rather than server-side or via structured data.
• ›Prior knowledge sourced 27% of the answer (founder names, Y Combinator backing, 500K+ users, Central Bank license), indicating the agent filled gaps with general knowledge rather than site content alone.